本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

A real time Multimodal Emotion Recognition web app for text, sound and video inputs

🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）

Yolov5 real time smoke detection system

CVPR2023 (highlight) - A Dynamic Multi-Scale Voxel Flow Network for Video Prediction

Multi-modal medical image fusion to detect brain tumors using MRI and CT images

Multimodal speech recognition using lipreading (with CNNs) and audio (using LSTMs). Sensor fusion is done with an attention network.

While tightening and expansion of our facial muscles cause some changes called facial expressions as a reaction to the different kinds of emotional situations of our brain, similarly there are some…

Texture Classification is a field of increasing importance especially in the Leather Industry. There are 2 major approaches to texture classification. First one Being traditional feature extraction…